Stock assessment using length-based Bayesian evaluation method for Trichiurus lepturus in the East China Sea

文献类型： 外文期刊

第一作者： Zhu, Kai

作者： Zhu, Kai;Zhu, Wenbin;Zhu, Kai;Zhu, Wenbin;Shi, Yongchuang

作者机构：

关键词： Trichiurus lepturus; LBB model; data-limited method; stock assessment; East China Sea

期刊名称：FRONTIERS IN MARINE SCIENCE （ 影响因子：3.7； 五年影响因子：4.7 ）

ISSN：

年卷期： 2023 年 9 卷

页码：

收录情况： SCI

摘要： Fishery resources assessment is the basis of scientific management and sustainable development of fisheries. Trichiurus lepturus, one of the major commercial fishes in the East China Sea, is of great significance to study its stocks status. Based on length frequency data of T. lepturus collected in the East China Sea from 2016 to 2020, we estimated asymptotic length, optimal length at first capture, relative mortality, and relative biomass of the stock using length-based Bayesian biomass estimation (LBB). The analysis shows a high exploitation rate and low biomass suggesting that the stock of T. lepturus has been overfished and is currently under heavy fishing pressure. Although the number of fishing vessels decreased by 29% from 2016 to 2020, the fishing horsepower decreased by only 9%, indicating that the fishing pressure on fishery resources is still high. To recover the stock, we consider the reduction of fishing intensity and enforcing of size-at-first-capture regulations to be imperative. In addition to reducing fishing boats and horsepower, it is essential to increase the escape proportion of juvenile fish by increasing the mesh size, and reduce the proportion of juvenile fish in the catch. The result in this study can provide informative reference for fishery stock assessment T. lepturus in the East China Sea under the data-limited conditions.

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